def test_profile_create_domain_dept(): profiler.profiler_set_config(mode='symbolic', filename='temp.json') profiler.set_state('run') domain = profiler.Domain(name='PythonDomain') print("Domain created: {}".format(str(domain))) profiler.dump_profile() profiler.set_state('stop')
def test_profile_create_domain_dept(): profiler.profiler_set_config(mode='symbolic', filename='temp.json') profiler.set_state('run') domain = profiler.Domain(name='PythonDomain') print("Domain created: {}".format(str(domain))) profiler.dump_profile() profiler.set_state('stop')
def test_profiler(): profile_filename = "test_profile.json" iter_num = 5 begin_profiling_iter = 2 end_profiling_iter = 4 profiler.profiler_set_config(mode='symbolic', filename=profile_filename) print('profile file save to {0}'.format(profile_filename)) A = mx.sym.Variable('A') B = mx.sym.Variable('B') C = mx.symbol.dot(A, B) executor = C.simple_bind(mx.cpu(1), 'write', A=(4096, 4096), B=(4096, 4096)) a = mx.random.uniform(-1.0, 1.0, shape=(4096, 4096)) b = mx.random.uniform(-1.0, 1.0, shape=(4096, 4096)) a.copyto(executor.arg_dict['A']) b.copyto(executor.arg_dict['B']) print("execution begin") for i in range(iter_num): print("Iteration {}/{}".format(i + 1, iter_num)) if i == begin_profiling_iter: t0 = time.clock() profiler.profiler_set_state('run') if i == end_profiling_iter: t1 = time.clock() profiler.profiler_set_state('stop') executor.forward() c = executor.outputs[0] c.wait_to_read() print("execution end") duration = t1 - t0 print('duration: {0}s'.format(duration)) print(' {0}ms/operator'.format(duration*1000/iter_num)) profiler.dump_profile()
def switch_profiler(param): if param.epoch == 0 and param.nbatch == 100: profiler.profiler_set_state('run') if param.epoch == 0 and param.nbatch == 110: profiler.profiler_set_state('stop') profiler.dump_profile()
profiler.profiler_set_state('run') # real run for i in range(iterations): mod.forward(batch, is_train=True) mod.backward() mod.update() for output in mod.get_outputs(merge_multi_context=False)[0]: output.wait_to_read() profiler.profiler_set_state('stop') t1 = time.clock() return (t1 - t0)*1000.0 / iterations def executor(num_iteration): sym, provide_data, provide_label = get_symbol() ctx = [mx.cpu(0)] mod = get_module(ctx, sym, provide_data, provide_label, batch_size=128) return benchmark(mod, iterations=args.iter_num) args = parse_args() if __name__ == '__main__': mx.profiler.profiler_set_config(mode='symbolic', filename=args.profile_filename) print('profile file save to {0}'.format(args.profile_filename)) print('executor num_iteration: {0}'.format(args.iter_num)) executor_time = executor(args.iter_num) print("executor {0} ms / iteration".format(executor_time)) profiler.dump_profile()